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Apr 18, 2026
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HPD 682 - Statistical Methods in Clinical Outcomes Research
The purpose of the course is to familiarize students with some major topics in clinical outcomes research, the statistical models commonly employed, and statistical problems that need to be overcome. Specific topics of interest may include: risk factor analysis; static models; risk factor/disease progression analysis;dynamic models; survival analysis (including multivariable survival analysis); volume-outcomes research; and forecasting models. Statistical techniques and challenges will be discussed within the context of each research topic as they arise. By the end of this course, students should be broadly familiar with these issues, and should be able to evaluate published clinical outcomes research in terms of the appropriateness of models chosen and how well the statistical problems have been addresses, and the reliability of the results.
3 credits
Prerequisite(s): HPH 507 - Biostatistics II or equivalent course.
Grading ABCF
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